Petkar Gitanjali, Domun Adaam, Sokeechand Nusayha, Hosenally Muzzammil
Centre International de Développement Pharmaceutique (CIDP), Phoenix, Mauritius.
Department of Economics and Statistics, University of Mauritius, Réduit, Mauritius.
Skin Res Technol. 2025 Aug;31(8):e70209. doi: 10.1111/srt.70209.
The assessment of improvements in facial skin features using instrumental measurements is often challenging. This is also true for the assessment of signs of ageing within various populations. For the purpose of clinical studies, there is a need to document the values that could be generated using such instrumental measurement. This paper, thus, investigates the effect of demographic profile and lifestyle on facial elasticity using an elasticity meter on a diverse and multiethnic population.
This one-day clinical study involved the participation of 300 participants for demographic profiling and self-reported lifestyle (after consenting). Skin elasticity measurements were taken using an elasticity meter in controlled conditions. Generated data included both absolute and relative parameters. These were tabulated using simple descriptive statistics, by demographic profile and lifestyle. Inferential statistical analyses were applied to assess for significant differences among groups.
Benchmark instrumental values are reported in the form of central tendencies and dispersions. Gender, age, phototype, ethnicity, occupation and transportation methods revealed salient differences in terms of skin elasticity. On the other hand, only non-significant trends were noted for other demographic characteristics and lifestyle behaviours investigated.
The findings propose some benchmark values that could be used to inform the design of future clinical trials. This includes sample size calculations, taking into consideration the panels being studied. There is a need to take into consideration the demographic and lifestyle background of the proposed panel when designing a study aimed at improving facial skin ageing features. These factors may have an influence on the response, thus confounding the study results and conclusions. Future longitudinal studies looking at long-term behavioural influences are required to better understand the dynamics of skin elasticity.
使用仪器测量来评估面部皮肤特征的改善情况往往具有挑战性。在评估不同人群的衰老迹象时也是如此。出于临床研究的目的，有必要记录使用此类仪器测量可能产生的值。因此，本文使用弹性仪对多样化的多民族人群进行研究，以探究人口统计学特征和生活方式对面部弹性的影响。
这项为期一天的临床研究纳入了300名参与者，以进行人口统计学特征分析和自我报告的生活方式调查（在获得同意后）。在受控条件下使用弹性仪进行皮肤弹性测量。生成的数据包括绝对参数和相对参数。这些数据按人口统计学特征和生活方式使用简单描述性统计进行列表。应用推断统计分析来评估组间的显著差异。
以集中趋势和离散度的形式报告了基准仪器测量值。性别、年龄、肤色类型、种族、职业和交通方式在皮肤弹性方面显示出显著差异。另一方面，对于所调查的其他人口统计学特征和生活方式行为，仅观察到不显著的趋势。
研究结果提出了一些基准值，可用于为未来临床试验的设计提供参考。这包括样本量计算，要考虑到所研究的人群。在设计旨在改善面部皮肤衰老特征的研究时，有必要考虑拟研究人群的人口统计学和生活方式背景。这些因素可能会对反应产生影响，从而混淆研究结果和结论。需要开展未来的纵向研究，观察长期行为影响，以更好地了解皮肤弹性的动态变化。
